azure-aigateway

SKILL.md

Configure Azure API Management as an AI Gateway for models, MCP tools, and agents with built-in governance policies.

Supports semantic caching (60-80% cost savings), token rate limiting, content safety filtering, and jailbreak detection across AI backends

Add Azure OpenAI, AI Foundry models, or convert existing APIs to MCP tools as managed backends with load balancing

Includes five core policy categories: authentication, semantic cache lookup, token limits, content safety, and token metrics for observability

Requires Azure CLI for configuration and testing; integrates with managed identity for secure backend access

Azure AI Gateway

Configure Azure API Management (APIM) as an AI Gateway for governing AI models, MCP tools, and agents.

To deploy APIM, use the azure-prepare skill. See APIM deployment guide.

When to Use This Skill

Category
Triggers

Model Governance
"semantic caching", "token limits", "load balance AI", "track token usage"

Tool Governance
"rate limit MCP", "protect my tools", "configure my tool", "convert API to MCP"

Agent Governance
"content safety", "jailbreak detection", "filter harmful content"

Configuration
"add Azure OpenAI backend", "configure my model", "add AI Foundry model"

Testing
"test AI gateway", "call OpenAI through gateway"

Quick Reference